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- TensorFlow http://tensorflow.org/ 440 comments
- GitHub - cupy/cupy: NumPy & SciPy for GPU https://github.com/cupy/cupy 107 comments
- PyTorch http://pytorch.org/ 100 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- GitHub - ml-explore/mlx: MLX: An array framework for Apple silicon https://github.com/ml-explore/mlx 90 comments
- NumPy https://numpy.org 17 comments
- GitHub - Oneflow-Inc/oneflow: OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. https://github.com/Oneflow-Inc/oneflow 3 comments
- GitHub - google/flax: Flax is a neural network library for JAX that is designed for flexibility. https://github.com/google/flax/ 0 comments
- GitHub - arogozhnikov/einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others) https://github.com/arogozhnikov/einops 0 comments
- GitHub - tinygrad/tinygrad: You like pytorch? You like micrograd? You love tinygrad! ❤️ https://github.com/tinygrad/tinygrad 0 comments
- GitHub - Quantco/ndonnx: ONNX-backed array library that is compliant with the Array API standard. https://github.com/Quantco/ndonnx 0 comments